This real-time model analyzes the signal from a single-lead ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is developed to be able to detect other kinds of anomalies for example atrial flutter, and can be continuously extended and improved. Our models are trained using https://ambiqapollo364319.tokka-blog.com/34741990/facts-about-neuralspot-features-revealed